{"id":"W3195830695","doi":"10.1038/s41598-021-96564-5","title":"Ternary optimization for designing metasurfaces","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ternary operation; Pixel; Particle swarm optimization; Computer science; Bandwidth (computing); Polarization (electrochemistry); Algorithm; Artificial intelligence; Telecommunications; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003372194,0.00057707,0.00047365,0.0004478918,0.0002118415,0.000677764,0.0005294745,0.0006391494,0.001390001],"category_scores_gemma":[0.0007077003,0.0003120748,0.0006022071,0.0004264029,0.0003664657,0.0005621961,0.0006173863,0.000435911,0.0003386392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004743602,"about_ca_system_score_gemma":0.0005073156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005668417,"about_ca_topic_score_gemma":0.0006100339,"domain_scores_codex":[0.9997974,0.00003936918,0.0000133484,0.0000272068,0.0001014795,0.00002129459],"domain_scores_gemma":[0.9998412,0.00006536096,0.00002637376,0.0000274944,0.00003221405,0.000007410285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009031625,0.00005159111,0.0005163539,0.0003195304,0.00004033168,0.00009677725,0.00007352364,0.756039,0.07986268,0.06839056,0.0008294655,0.09368983],"study_design_scores_gemma":[0.000009199224,0.00003371707,0.00006472089,0.00000574909,0.000005071754,0.00002683265,0.000005808698,0.988088,0.00727916,0.003203808,0.001273071,0.000004867793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02031013,0.0001967913,0.973121,0.00006386607,0.00003247127,0.00003817587,0.00003511876,0.0002035715,0.00599873],"genre_scores_gemma":[0.3928263,0.0002743505,0.604306,0.00006540919,0.00001748038,0.0001648955,0.00008783815,0.00007727553,0.002180506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001390001,"threshold_uncertainty_score":0.004650056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016622585455275,"score_gpt":0.239710459161114,"score_spread":0.2195442333065612,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}